| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
admin_code | string | SEL | 0% | 1 | PYF |
admin_name |
admin_name | string | SEL | 0% | 1 | French Polynesia |
population_count |
population_count | integer | SEL | 0% | 1 | 275918 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_0 |
year |
year | integer | 0% | 1 | 2017 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
admin_code |
admin_code | string | SEL | 0% | 5 | PF-4, PF-5, PF-1, PF-2, PF-3 |
admin_name |
admin_name | string | SEL | 0% | 5 | Îles Sous-le-Vent, Îles Tuamotu-Gambier, Îles Australes,... |
population_count |
population_count | integer | SEL | 0% | 5 | 35393, 16881, 6965, 207333, 9346 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
year | integer | 0% | 1 | 2017, 2017, 2017, 2017, 2017 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Pcode | string | SEL | 0% | 1 | PF |
region_name |
Region Name | string | SEL | 0% | 1 | French Polynesia |
population_count |
Population Count | integer | SEL | 0% | 1 | 275918 |
households |
Households | integer | SEL | 0% | 1 | 76780 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin Level | string | 0% | 1 | admin_0 |
year |
Year | integer | 0% | 1 | 2017 |
avg_household_size |
Avg Household Size | float | 0% | 1 | 3.6 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Pcode | string | SEL | 0% | 5 | PF-4, PF-3, PF-2, PF-1, PF-5 |
region_name |
Region Name | string | SEL | 0% | 5 | Îles Sous-le-Vent, Îles Marquises, Îles du Vent, Îles... |
population_count |
Population Count | integer | SEL | 0% | 5 | 35393, 9346, 207333, 6965, 16881 |
households |
Households | integer | SEL | 0% | 5 | 10080, 2704, 57284, 1920, 4792 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin Level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Year | integer | 0% | 1 | 2017, 2017, 2017, 2017, 2017 |
avg_household_size |
Avg Household Size | float | 0% | 2 | 3.5, 3.5, 3.6, 3.6, 3.5 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PF, PF, PF, PF, PF |
population_count |
Population count | float | SEL | 2% | 65 | 83671.0, 85434.0, 87261.0, 89737.0, 92823.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 59.445, 59.85, 60.201, 60.514, 60.797 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 9% | 60 | 1838.57638129761, 2171.35978202717, 2150.61571935477,... |
literacy_rate_pct |
Literacy rate percent | string | SEL | 100% | - | - |
under5_mortality_per_1000 |
Under5 mortality per 1000 | string | SEL | 100% | - | - |
poverty_headcount_pct |
Poverty headcount percent | string | SEL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | French Polynesia, French Polynesia, French Polynesia,... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PF, PF, PF, PF, PF |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 59.445, 59.85, 60.201, 60.514, 60.797 |
infant_mortality_per_1000 |
Infant mortality per 1000 | string | SEL | 100% | - | - |
under5_mortality_per_1000 |
Under5 mortality per 1000 | string | SEL | 100% | - | - |
maternal_mortality_per_100k |
Maternal mortality per 100k | string | SEL | 100% | - | - |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 5.931, 5.946, 5.968, 5.975, 5.98 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 63 | 42.417, 42.204, 41.922, 41.329, 41.326 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 9.758, 9.527, 9.305, 9.057, 8.912 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 97% | 2 | 1.252, 1.697 |
hospital_beds_per_1000 |
Hospital beds per 1000 | string | SEL | 100% | - | - |
vaccination_rate_pct |
Vaccination rate percent | string | SEL | 100% | - | - |
health_expenditure_pct_gdp |
Health expenditure percent gdp | string | SEL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | French Polynesia, French Polynesia, French Polynesia,... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 24.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 119.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .pf |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 73.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 28.0 |
country_code |
Country code | string | SEL | 0% | 1 | PYF |
country_name |
Country name | string | SEL | 0% | 1 | French Polynesia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
telephones_fixed_lines_total_subscriptions_text |
telephones_fixed_lines_total_subscriptions_text | string | 0% | 1 | 66,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 66000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 24 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 334,000 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 334000.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 119 (2023 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | French public overseas broadcaster Réseau Outre-Mer... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 73% (2017 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 78,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 78000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 28 (2022 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/fp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
real_gdp_per_capita_real_gdp_per_capita_2024_numeric |
Real gdp per capita 2024 (numeric) | float | SEL | 0% | 1 | 23300.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 6.563 |
country_code |
Country code | string | SEL | 0% | 1 | PYF |
country_name |
Country name | string | SEL | 0% | 1 | French Polynesia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | small, territorial-island tourism-based economy; large... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $6.007 billion (2024 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric |
Real gdp purchasing power parity 2024 (numeric) | float | 0% | 1 | 6.007 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $5.935 billion (2023 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric |
Real gdp purchasing power parity 2023 (numeric) | float | 0% | 1 | 5.935 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $5.892 billion (2022 est.) |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric |
Real gdp purchasing power parity 2022 (numeric) | float | 0% | 1 | 5.892 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2015 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 3% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 3.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 4.5% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 4.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2021_text |
Real gdp growth rate 2021 (text) | string | 0% | 1 | 2.1% (2021 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2021_numeric |
Real gdp growth rate 2021 (numeric) | float | 0% | 1 | 2.1 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $23,300 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $22,800 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 22800.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $20,700 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 20700.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2015 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $6.563 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 6.4% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 6.4 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | 0.5% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | 0.5 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_text |
Inflation rate consumer prices 2020 (text) | string | 0% | 1 | -0.1% (2020 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_numeric |
Inflation rate consumer prices 2020 (numeric) | float | 0% | 1 | -0.1 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +88 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
electricity_access_electrification_total_population_numeric |
Electricity access percent | float | SEL | 0% | 1 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | PYF |
country_name |
Country name | string | SEL | 0% | 1 | French Polynesia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
electricity_access_electrification_total_population_text |
electricity_access_electrification_total_population_text | string | 0% | 1 | 100% (2022 est.) |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 345,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 345000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 669.5 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 669.5 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 42.663 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 42.663 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 66% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 66.0 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 7% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 7.0 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 27% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 27.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 1 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 1.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 7,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 7000.0 |
source_section |
source_section | string | 0% | 1 | Energy |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/fp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 8.7 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 43.1 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 62.3 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.65 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 147000.0 |
country_code |
Country code | string | SEL | 0% | 1 | PYF |
country_name |
Country name | string | SEL | 0% | 1 | French Polynesia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | sea-level rise; cyclones, storms, and tsunamis producing... |
climate_text |
climate_text | string | 0% | 1 | tropical, but moderate |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 8.7% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.7% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.7 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 7.5% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 7.5 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 43.1% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 48.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 48.3 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 62.3% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.65% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 1.01 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 1.01 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 1.01 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric | float | 0% | 1 | 1.01 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 147,000 tons (2024 est.) |
source_section |
source_section | string | 0% | 1 | Environment |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/fp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PYF |
country_name |
Country name | string | SEL | 0% | 1 | French Polynesia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
nationality_noun_text |
nationality_noun_text | string | 0% | 1 | French Polynesian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | French Polynesian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Polynesian 78%, Chinese 12%, local French 6%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 78.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/fp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 4167.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 3827.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 340.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 0.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 2525.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2241.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | 0.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 8.7 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 43.1 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 10.0 |
country_code |
Country code | string | SEL | 0% | 1 | PYF |
country_name |
Country name | string | SEL | 0% | 1 | French Polynesia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Oceania, five archipelagoes (Archipel des Tuamotu, Iles... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 15 00 S, 140 00 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 15.0 |
map_references_text |
map_references_text | string | 0% | 1 | Oceania |
area_total_text |
area_total_text | string | 0% | 1 | 4,167 sq km (118 islands and atolls; 67 are inhabited) |
area_land_text |
area_land_text | string | 0% | 1 | 3,827 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 340 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly less than one-third the size of Connecticut |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 0 km |
coastline_text |
coastline_text | string | 0% | 1 | 2,525 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | tropical, but moderate |
terrain_text |
terrain_text | string | 0% | 1 | mixture of rugged high islands and low islands with reefs |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mont Orohena 2,241 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Pacific Ocean 0 m |
natural_resources_text |
natural_resources_text | string | 0% | 1 | timber, fish, cobalt, hydropower |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 8.7% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.7% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.7 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 7.5% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 7.5 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 43.1% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 48.3% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 48.3 |
irrigated_land_text |
irrigated_land_text | string | 0% | 1 | 10 sq km (2012) |
| +7 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PYF |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name_conventional_long_form_text |
country_name_conventional_long_form_text | string | 0% | 1 | Overseas Lands of French Polynesia |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | French Polynesia |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Pays d'outre-mer de la Polynésie française |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Polynésie Française |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Establishments in Oceania, French Establishments in Oceania |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the term "Polynesia" is an 18th-century construct... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 18.0 |
government_type_text |
government_type_text | string | 0% | 1 | parliamentary democracy (Assembly of French Polynesia);... |
dependency_status_text |
dependency_status_text | string | 0% | 1 | overseas country of France |
capital_name_text |
capital_name_text | string | 0% | 1 | Papeete (located on Tahiti) |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 17 32 S, 149 34 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 17.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC-10 (5 hours behind Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | -10.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name derives from the Tahitian words pape (water)... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 5 administrative subdivisions (subdivisions... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 5.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | the laws of France apply |
constitution_history_text |
constitution_history_text | string | 0% | 1 | 4 October 1958 (French Constitution) |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 4.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | French constitution amendment procedures apply |
citizenship_text |
citizenship_text | string | 0% | 1 | see France |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Emmanuel MACRON (since 14 May 2017),... |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 14.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | President of French Polynesia Moetai BROTHERSON (since... |
executive_branch_head_of_government_numeric |
executive_branch_head_of_government_numeric | float | 0% | 1 | 12.0 |
executive_branch_cabinet_text |
executive_branch_cabinet_text | string | 0% | 1 | Council of Ministers approved by the Assembly from a... |
executive_branch_election_appointment_process_text |
executive_branch_election_appointment_process_text | string | 0% | 1 | French president directly elected by absolute-majority... |
| +44 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PYF |
country_name |
Country name | string | SEL | 0% | 1 | French Polynesia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | French Polynesia consists of five archipelagos -- the... |
background_numeric |
background_numeric | float | 0% | 1 | 200.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/fp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PYF |
country_name |
Country name | string | SEL | 0% | 1 | French Polynesia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | French (official) 73.5%, Tahitian 20.1%, Marquesan 2.6%,... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 73.5 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | The World Factbook, une source indispensable... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/fp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PYF |
country_name |
Country name | string | SEL | 0% | 1 | French Polynesia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
military_and_security_forces_text |
military_and_security_forces_text | string | 0% | 1 | no regular military forces |
military_note_text |
military_note_text | string | 0% | 1 | defense is the responsibility of France, and it... |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/fp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 305507.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 156084.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 149423.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 20.3 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 68.7 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 11.0 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 46.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 29.3 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 16.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 35.8 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 0.63 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 12.7 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.84 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.56 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 62.3 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 0.65 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.05 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 4.2 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 78.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.78 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.87 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.02 |
country_code |
Country code | string | SEL | 0% | 1 | PYF |
country_name |
Country name | string | SEL | 0% | 1 | French Polynesia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_total_text |
population_total_text | string | 0% | 1 | 305,507 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 156,084 |
population_female_text |
population_female_text | string | 0% | 1 | 149,423 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 20.3% (male 31,659/female 30,006) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 68.7% (male 107,162/female 101,228) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 11% (2024 est.) (male 16,317/female 17,168) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 46 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 29.3 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 16.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 6 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 6.0 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 35.8 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 35 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 35.0 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 35.6 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 35.6 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 0.63% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 12.7 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.84 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.56 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the majority of the population lives in the Society... |
population_distribution_numeric |
population_distribution_numeric | float | 0% | 1 | 70.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 62.3% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 0.65% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 136,000 PAPEETE (capital) (2018) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 136000.0 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.05 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.06 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.06 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.06 male(s)/female |
| +29 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PYF |
country_name |
Country name | string | SEL | 0% | 1 | French Polynesia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 10.0 |
composition_ethnicity_primary_label_synth |
Polynesian | string | CCL | 0% | - | Polynesian |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Protestant 54%, Roman Catholic 30%, other 10%, no religion 6% |
religions_numeric |
religions_numeric | float | 0% | 1 | 54.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/fp.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 54.0 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 30.0 |
composition_religion_no_religion_pct_synth |
no religion | numeric | 0% | - | 6.0 |
composition_ethnicity_polynesian_pct_synth |
Polynesian | numeric | 0% | - | 78.0 |
composition_ethnicity_chinese_pct_synth |
Chinese | numeric | 0% | - | 12.0 |
composition_ethnicity_local_french_pct_synth |
local French | numeric | 0% | - | 6.0 |
composition_ethnicity_metropolitan_french_pct_synth |
metropolitan French | numeric | 0% | - | 4.0 |
composition_ethnicity_primary_share_pct_synth |
Polynesian | numeric | 0% | - | 78.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | F-OH |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 54.0 |
country_code |
Country code | string | SEL | 0% | 1 | PYF |
country_name |
Country name | string | SEL | 0% | 1 | French Polynesia |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 54 (2025) |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 24 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 24.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 14 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 14.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 6 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 6.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 5 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 5.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 1 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 1.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Atuona, Baie Taiohae, Papeete, Port Rikitea, Uturoa, Vaitape |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | australia-oceania/fp.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 10 | aust1304, mang1401, mari1446, nort2845, rapa1245 |
name |
Name | string | CCL | 0% | 10 | Austral, Mangareva, Maritime Polynesian Pidgin, North... |
iso639_3 |
Iso639 3 | string | CCL | 20% | 8 | aut, mrv, mrq, ray, rar |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 2 | aust1307, aust1307, pidg1258, aust1307, aust1307 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 5 | tahi1244, fare1245, tahi1243, marq1246, sout3383 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 2 | ['PF'], ['PF'], ['PF'], ['PF'], ['PF'] |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 6 | 4, 0, 0, 4, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 10 | -23.3843, -23.1095, -16.593829, -8.89412, -27.6304 |
longitude |
longitude | float | 0% | 10 | -149.462, -134.97, -148.42673, -140.108, -144.338 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PYF, PYF, PYF |
society_id |
Society id | string | CCL | 0% | 3 | Ij3, Ij7, Ij8 |
society_name |
Society name | string | CCL | 0% | 3 | Marquesans, Mangarevans, Tahitians |
language_glottocode |
Language glottocode | string | CCL | 0% | 3 | nort2845, mang1401, tahi1242 |
language_name |
Language name | string | CCL | 0% | 1 | , , |
kinship_system |
Kinship system | string | CCL | 0% | 2 | EA001:0; EA002:0; EA003:4; EA004:1; EA005:5, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 3 | EA006:6; EA007:8; EA008:3; EA009:7; EA010:9, EA006:6;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 2 | EA028:4; EA029:4; EA030:5; EA031:2; EA032:2, EA028:4;... |
political_complexity |
Political complexity | string | CCL | 0% | 3 | EA033:2; EA034:1; EA035:2, EA033:3; EA034:1; EA035:2,... |
religion_importance |
Religion importance | string | CCL | 0% | 2 | EA034:1; EA112:4, EA034:1; EA112:6, EA034:1; EA112:4 |
residence_pattern |
Residence pattern | string | CCL | 0% | 3 | EA011:1; EA012:10; EA013:2, EA011:2; EA012:12; EA013:3,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | French Polynesia, French Polynesia, French Polynesia |
dataset |
dataset | string | 0% | 1 | EA, EA, EA |
region |
region | string | 0% | 1 | , , |
latitude |
latitude | float | 0% | 3 | -8.9, -23.12, -17.71 |
longitude |
longitude | float | 0% | 3 | -140.08, -134.97, -149.54 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | PYF, PYF |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | fra, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | French, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 2859, 4 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 99.8603, 0.1397 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | PYF |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | French Polynesia |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 2 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9548 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 6643 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 4106 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 6640 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 3 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 495 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 393 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 3952 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 2292 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 171 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 160 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 1852 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1162 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 114 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 47 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 59 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 52 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PYF |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | French Polynesia |
admin_code |
Admin code | string | SEL | 0% | 1 | 99418368B5405450586203 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 3452.8161 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 236586 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 68.52 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PYF |
admin_level |
Admin level | string | SEL | 0% | 1 | locality |
admin_name |
Admin name | string | SEL | 0% | 1 | Papeete |
admin_code |
Admin code | integer | SEL | 0% | 1 | 4 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 49.725 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 88666 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 1783.13 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 1 | 109747 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 1 | 0.808 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 1 | Papeete |
country_code |
Country code | string | SEL | 0% | 1 | PYF |
population |
Population count | integer | SEL | 0% | 1 | 109747 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 1 | 4 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | French Polynesia |
population_year |
population_year | integer | 0% | 1 | 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| French (fra) | 2,859 | 99.9% | — |
| English (eng) | 4 | 0.1% | — |
4,106 distinct features ·
2 languages ·
0 scripts ·
3 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| Pacific Community (SPC) — Pacific Data Hub | international_organization | api |
| SPC Pacific Data Hub (Pacific Community) | international_organization | api |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| Glottolog Language Catalog | academic | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.